Marine Highway Traffic Monitoring System with Trajectory Prediction from AIS Data

Clients

Techstack

Purpose

On busy marine highways, a vessel wandering off its designated route can turn into a collision or grounding fast. Spotting that drift early, across many ships moving at once, is a hard monitoring problem that human operators can't watch continuously.

Description

We built a monitoring system that reads the live position broadcasts ships transmit, plots every vessel on an interactive nautical chart, and learns each one's movement pattern to predict where it's heading. When a ship strays from its suggested route, the system raises an alert, giving operators a continuous, forward-looking picture of traffic instead of a static snapshot. Predicting vessel trajectories from noisy real-time signals is exactly the kind of applied machine-learning problem we build for.